Journal article

Using imagery and computer vision as remote monitoring methods for early detection of respiratory disease in pigs

Maria Jorquera-Chavez, Sigfredo Fuentes, Frank R Dunshea, Robyn D Warner, Tomas Poblete, Ranjith R Unnithan, Rebecca S Morrison, Ellen C Jongman

COMPUTERS AND ELECTRONICS IN AGRICULTURE | ELSEVIER SCI LTD | Published : 2021

Abstract

Respiratory diseases in pigs impact the wellbeing of animals and increase the cost of production. One of the most appropriate approaches to minimizing these negative effects is the early detection of ill animals. The use of cameras coupled with computer-based techniques could assist the early detection of physiological changes in pigs when they are beginning to become ill and prior to exhibiting clinical signs. This study consisted of two experiments that aimed to (a) evaluate the use of computer-based techniques over RGB (red, green, and blue) and thermal infrared imagery to measure heart rate and respiration rate of pigs, and (b) to investigate whether eye-temperature, heart rate and respi..

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Grants

Awarded by Australasian Pork Research Institute Limited (APRIL)


Awarded by Agencia Nacional de Investigacion y Desarrollo (ANID) /Beca de Doctorado en el Extranjero Becas Chile


Funding Acknowledgements

This study was funded by Australasian Pork Research Institute Limited (APRIL) [grant A1-104] . Maria Jorquera-Chavez acknowledges the support from the scholarship funded by the Agencia Nacional de Investigacion y Desarrollo (ANID) /Beca de Doctorado en el Extranjero Becas Chile/2016 - 72170291. The authors would like to acknowledge the contribution of Bryce Widdicomb and Nicholas O'Keefe on the development of the Raspberry Pi storage system used in this study, and the contribution of Natalie Roadknight during the data collection. The authors are grateful for the support provided by the University of Mel-bourne Statistical Consulting Platform and the Research and Innovation team from Rivalea Australia who assisted with this experiment.